class_docstr: Suggested backoff chain; includes at least on of each
  type of major sequential backoff class from backoff.py
  
  ### Putting it all together
  ### BETA Version of the Backoff Lemmatizer AKA BackoffLatinLemmatizer
  ### For comparison, there is also a TrainLemmatizer that replicates the
  ###    original Latin lemmatizer from cltk.stem
class_docstr_tok: ["Suggested","backoff","chain",";","includes","at","least","on","of","each","type","of","major","sequential","backoff","class","from","backoff.py","#","#","#","Putting","it","all","together","#","#","#","BETA","Version","of","the","Backoff","Lemmatizer","AKA","BackoffLatinLemmatizer","#","#","#","For","comparison",",","there","is","also","a","TrainLemmatizer","that","replicates","the","#","#","#","original","Latin","lemmatizer","from","cltk.stem"]
code: def evaluate(self):
      if self.VERBOSE:
          raise AssertionError(
              "evaluate() method only works when verbose: bool = False"
          )
      return self.lemmatizer.evaluate(self.test_sents)
  
file_path: cltk/src/cltk/lemmatize/lat.py
imports: import os
  import re
  from typing import List
  from cltk.lemmatize.backoff import DefaultLemmatizer, DictLemmatizer, IdentityLemmatizer, RegexpLemmatizer, UnigramLemmatizer
  from cltk.utils import CLTK_DATA_DIR
  from cltk.utils.file_operations import open_pickle
label_desc: Use image node_id 4 for calling the LatinBackoffLemmatizer obj's underlying member method code with example usage: obj.evaluate() and returns: self